In this paper, we consider the distributed estimation problem of a linear stochastic system described by an autoregressive model with exogenous inputs when both orders and parameters are unknown. We design algorithms to estimate unknown combining proposed local information criterion least squares method. The simultaneous for brings challenges theoretical analysis. Some analysis techniques, such...